Instructions to use npario/Qwen3-Embedding-0.6B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use npario/Qwen3-Embedding-0.6B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Embedding-0.6B-8bit npario/Qwen3-Embedding-0.6B-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download vocab.json from npario/Qwen3-Embedding-0.6B-8bit: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/npario/Qwen3-Embedding-0.6B-8bit/resolve/main/vocab.json
- Command line
-
hf download hf://npario/Qwen3-Embedding-0.6B-8bit/vocab.json
-
curl -L -o vocab.json https://huggingface.co/npario/Qwen3-Embedding-0.6B-8bit/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.